Senior AI Application Developer
About this role
Job Summary
We are seeking an experienced AI Application Developer to build and deliver enterprise-grade AI solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience developing production-ready applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI integration frameworks.
This role centers on implementation, integration, optimization, and productionization of AI-powered solutions rather than AI research or model training.
Responsibilities
• Design and develop scalable backend services and REST/GraphQL APIs
• Implement AI-powered features using LLMs and generative AI technologies
• Build, maintain, and optimize RAG pipelines, including vector database integration and retrieval strategies
• Develop AI agents and tool integrations, including MCP-based workflows
• Apply prompt engineering and prompt management practices across AI features
• Optimize AI application performance, latency, and token/cost consumption
• Implement AI security controls, guardrails, and governance requirements
• Monitor, troubleshoot, and continuously improve production AI systems
• Collaborate with architects and product teams to deliver enterprise AI solutions
Required Skills
Software Engineering
• Python
• Microservices architecture
• REST & GraphQL APIs
• Authentication & authorization
• Caching strategies
• Cloud-native development
AI Engineering
• LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI)
• RAG architectures & vector databases
• Agent frameworks and MCP concepts & integrations
• Prompt engineering & prompt management
• Context engineering and AI workflow orchestration
Production Readiness
• Cost and latency optimization
• AI observability
• Security and compliance
• Production deployment experience
Nice to Have
Experience with tooling such as LiteLLM (LLM gateway/routing) or Langfuse (prompt & observability tracing) is a plus.
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